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This comprehensive Artificial Intelligence (AI) program is designed to equip learners with both foundational knowledge and practical skills in the field of AI. Covering everything from basic concepts to advanced applications like deep learning, NLP, and computer vision, this course is ideal for individuals seeking to launch or grow a career in AI across various industries.
Through hands-on projects, real-world case studies, and guided learning, participants will develop a robust understanding of AI technologies and their ethical, business, and societal implications.
By the end of this certification program, you will be able to:
Understand the foundations and evolution of AI and its various subfields
Build and train machine learning and deep learning models
Apply AI techniques in natural language processing and computer vision tasks
Analyze and implement ethical practices in AI development
Evaluate the use of AI in business scenarios with practical case studies
Develop and present a complete AI solution through a capstone project.
This course is suitable for:
Beginners looking to start a career in Artificial Intelligence or Data Science
Software developers and engineers aiming to transition into AI roles
Data analysts and scientists seeking to upskill in AI tools and techniques
Business professionals and decision-makers interested in implementing AI solutions
Students, educators, and researchers in computer science or related fields.
With enrollment, participants receive:
Complete access to video lectures, readings, and presentations
Hands-on coding exercises and projects (using Python, TensorFlow, etc.)
Downloadable resources, including model templates and datasets
Access to online labs or notebooks for practice
Case studies from real-world industries
Support from instructors or a learning community
Final project guidelines and evaluation criteria
Certificate of completion upon successful evaluation
Course Content
1. Introduction to Artificial Intelligence
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What is AI?
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History and evolution of AI
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Applications of AI
2.Machine Learning (ML)
3. Deep Learning
4. Natural Language Processing (NLP)
5. Computer Vision
6. AI Ethics and Governance
7.AI in Business & Industry
8. Capstone Project / Certification Assessment
A course by
WK
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